Distributed Optimization for Rank-Constrained Semidefinite Programs
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DOI: 10.1109/lcsys.2022.3186939
Abstract: This letter develops a distributed optimization framework for solving the rank-constrained semidefinite programs (RCSPs). Since the rank constraint is non-convex and discontinuous, solving an optimization problem with rank constraints is NP-hard and notoriously time-consuming, especially… read more here.
Keywords: distributed optimization; constrained semidefinite; semidefinite programs; rank constrained ... See more keywords